---
title: Together AI
---

<Warning>
**You are currently on a page documenting the use of Together AI models as [text completion models](/oss/concepts/text_llms). Many popular Together AI models are [chat completion models](/oss/langchain/models).**

You may be looking for [this page instead](/oss/integrations/chat/together/).
</Warning>

[Together AI](https://www.together.ai/) offers an API to query [50+ leading open-source models](https://docs.together.ai/docs/inference-models) in a couple lines of code.

This example goes over how to use LangChain to interact with Together AI models.

## Installation

```python
%pip install -U langchain-together
```

## Environment

To use Together AI, you'll need an API key which you can find here:
[api.together.ai/settings/api-keys](https://api.together.ai/settings/api-keys). This can be passed in as an init param
`together_api_key` or set as environment variable `TOGETHER_API_KEY`.

## Example

```python
# Querying chat models with Together AI

from langchain_together import ChatTogether

# choose from our 50+ models here: https://docs.together.ai/docs/inference-models
chat = ChatTogether(
    # together_api_key="YOUR_API_KEY",
    model="meta-llama/Llama-3-70b-chat-hf",
)

# stream the response back from the model
for m in chat.stream("Tell me fun things to do in NYC"):
    print(m.content, end="", flush=True)

# if you don't want to do streaming, you can use the invoke method
# chat.invoke("Tell me fun things to do in NYC")
```

```python
# Querying code and language models with Together AI

from langchain_together import Together

llm = Together(
    model="codellama/CodeLlama-70b-Python-hf",
    # together_api_key="..."
)

print(llm.invoke("def bubble_sort(): "))
```
